一种统计特征保持的时序数据库水印方案  

A statistical characteristics preserving watermarking scheme for time series databases

作　　者：于烨璐 马泽华 张杰 方涵 张卫明[1] 俞能海[1] Yelu Yu;Zehua Ma;Jie Zhang;Han Fang;Weiming Zhang;Nenghai Yu(Chinese Academy of Sciences Key Laboratory of Electromagnetic Space Information,University of Science and Technology of China,Hefei 230027,China;School of Computer Science and Engineering,Nanyang Technological University,Singapore 639798,Singapore;School of Computing,National University of Singapore,Singapore 117417,Singapore)

机构地区：[1]中国科学技术大学网络空间安全学院,中国科学院电磁空间信息重点实验室,安徽合肥230027 [2]南洋理工大学计算机工程学院,新加坡639798 [3]新加坡国立大学计算机学院,新加坡117417

出　　处：《中国科学技术大学学报》2024年第4期2-11,1,66,共12页JUSTC

基　　金：supported by the Natural Science Foundation of China (62072421, U2336206, 62102386, 62372423, and U20B2047);Fundamental Research Funds for the Central Universities (WK2100000041)。

摘　　要：数据库水印是保护数据库版权最有效的方法之一。然而,传统的数据库水印有一个潜在的缺点:水印的嵌入会改变数据的分布,从而影响数据库的使用和分析。考虑到大多数分析都是基于目标数据库的统计特征,保持统计特征的一致性是确保数据库可分析性的关键。由于统计特征分析往往是分组进行的,与传统的关系数据库相比,时序数据库(TSDBs)具有明显的时间分组特征,更具有分析价值。因此,本文提出了一种鲁棒的时序数据库水印算法,有效地保证了统计特征的一致性。基于TSDBs的时间分组特征,提出了一种基于线性回归、误差补偿和水印验证的三步水印方案RCV。根据线性回归模型和误差补偿的特性,该方案可以生成一组具有相同统计特征的数据。然后,基于验证机制对生成的数据进行验证,直到它可以传递目标的水印消息为止。与现有方法相比,该方法具有更好的鲁棒性和保持统计特征不变的能力。Database watermarking is one of the most effective methods to protect the copyright of databases.However,traditional database watermarking has a potential drawback:watermark embedding will change the distribution of data,which may affect the use and analysis of databases.Considering that most analyses are based on the statistical characteristics of the target database,keeping the consistency of the statistical characteristics is the key to ensuring analyzability.Since statistical characteristics analysis is performed in groups,compared with traditional relational databases,time series databases(TSDBs)have obvious time-grouping characteristics and are more valuable for analysis.Therefore,this paper proposes a robust watermarking algorithm for time series databases,effectively ensuring the consistency of statistical characteristics.Based on the time-group characteristics of TSDBs,we propose a three-step watermarking method,which is based on linear regression,error compensation,and watermark verification,named RCV.According to the properties of the linear regression model and error compensation,the proposed watermark method generates a series of data that have the same statistical characteristics.Then,the verification mechanism is performed to validate the generated data until it conveys the target watermark message.Compared with the existing methods,our method achieves superior robustness and preserves constant statistical properties better.

关 键 词：数据库水印 时序数据库 统计特征 时间分组特征 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]